2. Isolation Forest- This package implements an anomaly detection method that detects data-anomalies using binary trees. Using the property that anomalies are more susceptible to isolation, anomalies can be detected as data points which have short expected path lengths.

3. CHAID- This package offers an implementation of CHAID, a type of decision tree technique for a nominal scaled dependent variable. The method detects interactions between categorized variables of a data set, one of which is the dependent variable.

4. partykit: Recursive Partytioning Toolkit- Infrastructure for representing, summarizing, and visualizing tree-structured models. It can be used for constructing or reading tree models from different sources (rpart, RWeka, PMML), sharing
functionality for print/plot/predict methods.